The role of generative AI in improving the sustainability and efficiency of HR recruitment process by Réka Koteczki, Dániel Csikor, Boglárka Eisinger Balassa

“…Abstract Generative artificial intelligence (GAI) is becoming increasingly important in business processes, including human resource management. GAI can offer the potential to automate repetitive tasks in recruitment processes, optimise decision making, and reduce administrative burdens. …”
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An Optimal Distillation Process for Turpentine Separation Using a Firefly Algorithm by Gustavo Mendes Platt, Otávio Knevitz de Azevedo, Francisco Bruno Souza Oliveira

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An AI‐Enabled Data Processing Pipeline for Ingesting Borehole Data in Peridotite Environments by John M. Aiken, Elliot Dufornet, Hamed Amiri, Lotta Ternieten, Oliver Plümper

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Evaluation of Bunsen Reaction Kinetics in Iodine-sulfur Thermochemical Process for Hydrogen Production by Nafees Ahmed Vakil, Shriniwas A Rao

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Process‐Based Machine Learning Observationally Constrains Future Regional Warming Projections by Sophie Wilkinson, Peer Nowack, Manoj Joshi

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Linear optical wave energy redistribution methods for photonic signal processing by Connor Rowe, Xinyi Zhu, Benjamin Crockett, Geunweon Lim, Majid Goodarzi, Manuel Fernández, James van Howe, Hao Sun, Saket Kaushal, Afsaneh Shoeib, José Azaña

“…The techniques based on these linear optical wave energy redistribution (OWER) methods are inherently energy efficient and have significant speed and bandwidth advantages over digital signal processing. We describe several recent OWER methods for optical signal processing, including denoising passive amplification, real-time spectrogram analysis, passive logic computing, and more. …”
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Data processing techniques to improve data integration from dairy farms by Jacquelyn P. Boerman, Luiz F. Brito, Maria E. Montes, Jacob M. Maskal, Jarrod Doucette, Kirby Kalbaugh

“…This shared curated environment facilitates extensive dataset consumption, empowering users to leverage distributed computing resources and parallel processing capabilities for sophisticated multi-dataset analysis and integration. …”
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A spatiotemporal Order-Revealing query processing approach for Industrial Internet of Things by Ravi Sharma, Balázs Villányi

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Apps to Promote Computational Thinking and Coding Skills to Young Age Children: A Pedagogical Challenge for the 21st Century Learners by Stamatios Papadakis

“… Background/purpose – At the beginning of the 21st century, Computational Thinking (CT) and coding were typically considered part of secondary education programs, focusing on programming and algorithm development. …”
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Improvement of Material Removal Rate and Within Wafer Non-Uniformity in Chemical Mechanical Polishing Using Computational Fluid Dynamic Modeling by Hafiz M. Irfan, Cheng-Yu Lee, Debayan Mazumdar, Yashar Aryanfar, Wei Wu

“…Several factors influence the CMP process, including the type of abrasives, slurry flow rate, pad patterns, and contact pressure distribution. …”
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Reducing Computational Time in Pixel-Based Path Planning for GMA-DED by Using Multi-Armed Bandit Reinforcement Learning Algorithm by Rafael P. Ferreira, Emil Schubert, Américo Scotti

“…This work presents an artificial intelligence technique to minimise path planning computer processing time for successful GMA-DED 3D printings. …”
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A Two-Phase Pattern Generation and Production Planning Procedure for the Stochastic Skiving Process by Tolga Kudret Karaca, Funda Samanlioglu, Ayca Altay

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Design and Implementation of Low-Complexity Multiple Symbol Detection Algorithm Using Hybrid Stochastic Computing in Aircraft Wireless Communications by Yukai Liu, Rongke Liu, Kairui Tian, Zheng Lu, Ling Zhao

“…Additionally, for the symbol decision process of the MSD algorithm, we design a binary computing-based pipeline architecture to execute the computing process serially, which leverages the inherent low update rate of SC-based correlation results to further reduce the overall resource overhead. …”
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Recent Advances in Natural Language Processing II: Selected Papers from RANLP '97 by Nicolas Nicolov, Ruslan Mitkov

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Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing by Aminudin Aminudin, Eko Budi Cahyono

“…The data is processed using one of the machine learning models namely deep learning by dividing several nodes that have been formed in the cloud computing environment by utilizing the H2O library. …”
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PlutoNet: An efficient polyp segmentation network with modified partial decoder and decoder consistency training by Tugberk Erol, Duygu Sarikaya

Subjects: “…computer vision…”
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Artificial intelligence technologies and applications for language learning and teaching by Son Jeong-Bae, Ružić Natasha Kathleen, Philpott Andrew

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USING SIMULINK PACKAGE FOR TRANSIENT SUPPORT-PARAMETRIC SIMULATION IN GAS PIPELINE SECTION by Nikita V. Kudinov, Rudolf A. Neydorf, Lev А. Zhuravlev, Elena V. Teterevleva

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Enhancing predictive analytics in mandibular third molar extraction using artificial intelligence: A CBCT-Based study by Faezeh Khorshidi, Rasool Esmaeilyfard, Maryam Paknahad

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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

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